LAB 2 Assignment

This article, it explores into a report by Stanford University researchers highlighting the challenges faced by AI ethics practitioners and the need for improved ethical practices within tech firms

Name	Quantity
Apple	3
Egg	12
Pear	10
Mango	7
Banana	3

1. Creating a simple graph using matplotlib

import matplotlib.pyplot as plt
fig, ax = plt.subplots()  # Create a figure containing a single axes.
ax.plot([1, 2, 3, 4,5], [1, 4, 10, 3,-15])  # Plot some data on the axes.

[<matplotlib.lines.Line2D at 0x1f90cc04390>]

2. Stacked histogram on a log scale using seaborn

import seaborn as sns
import matplotlib as mpl
import matplotlib.pyplot as plt

sns.set_theme(style="ticks")

diamonds = sns.load_dataset("diamonds")

f, ax = plt.subplots(figsize=(7, 5))
sns.despine(f)

sns.histplot(
    diamonds,
    x="price", hue="cut",
    multiple="stack",
    palette="light:m_r",
    edgecolor=".3",
    linewidth=.5,
    log_scale=True,
)
ax.xaxis.set_major_formatter(mpl.ticker.ScalarFormatter())
ax.set_xticks([100, 200, 400, 800, 1000, 2000, 4000, 8000])

[<matplotlib.axis.XTick at 0x1f930a21750>,
 <matplotlib.axis.XTick at 0x1f92f376290>,
 <matplotlib.axis.XTick at 0x1f930e77c90>,
 <matplotlib.axis.XTick at 0x1f930e27a90>,
 <matplotlib.axis.XTick at 0x1f930dc4b90>,
 <matplotlib.axis.XTick at 0x1f930dc42d0>,
 <matplotlib.axis.XTick at 0x1f931008f50>,
 <matplotlib.axis.XTick at 0x1f930a75fd0>]

3. Line plots on Date axes using plotly

import plotly.express as px
import plotly.offline as po
po.init_notebook_mode()

df = px.data.stocks()
fig = px.line(df, x='date', y="GOOG")
fig.show()